Package software.amazon.awscdk.services.sagemaker

Class CfnModelPackage.TransformInputProperty.Builder

java.lang.Object

software.amazon.awscdk.services.sagemaker.CfnModelPackage.TransformInputProperty.Builder

All Implemented Interfaces:

software.amazon.jsii.Builder<CfnModelPackage.TransformInputProperty>

Enclosing interface:

CfnModelPackage.TransformInputProperty

@Stability(Stable)
public static final class CfnModelPackage.TransformInputProperty.Builder
extends Object
implements software.amazon.jsii.Builder<CfnModelPackage.TransformInputProperty>

A builder for CfnModelPackage.TransformInputProperty

Constructor Summary

Constructors

Constructor	Description
Builder()

Method Summary

Modifier and Type	Method	Description
CfnModelPackage.TransformInputProperty	build()	Builds the configured instance.
CfnModelPackage.TransformInputProperty.Builder	compressionType(String compressionType)	Sets the value of CfnModelPackage.TransformInputProperty.getCompressionType()
CfnModelPackage.TransformInputProperty.Builder	contentType(String contentType)	Sets the value of CfnModelPackage.TransformInputProperty.getContentType()
CfnModelPackage.TransformInputProperty.Builder	dataSource(IResolvable dataSource)	Sets the value of CfnModelPackage.TransformInputProperty.getDataSource()
CfnModelPackage.TransformInputProperty.Builder	dataSource(CfnModelPackage.DataSourceProperty dataSource)	Sets the value of CfnModelPackage.TransformInputProperty.getDataSource()
CfnModelPackage.TransformInputProperty.Builder	splitType(String splitType)	Sets the value of CfnModelPackage.TransformInputProperty.getSplitType()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

Builder

public Builder()

Method Details

dataSource

@Stability(Stable)
public CfnModelPackage.TransformInputProperty.Builder dataSource(IResolvable dataSource)

Sets the value of CfnModelPackage.TransformInputProperty.getDataSource()

Parameters:

dataSource - Describes the location of the channel data, which is, the S3 location of the input data that the model can consume. This parameter is required.

Returns:

this

dataSource

@Stability(Stable)
public CfnModelPackage.TransformInputProperty.Builder dataSource(CfnModelPackage.DataSourceProperty dataSource)

Sets the value of CfnModelPackage.TransformInputProperty.getDataSource()

Parameters:

dataSource - Describes the location of the channel data, which is, the S3 location of the input data that the model can consume. This parameter is required.

Returns:

this

compressionType

@Stability(Stable)
public CfnModelPackage.TransformInputProperty.Builder compressionType(String compressionType)

Sets the value of CfnModelPackage.TransformInputProperty.getCompressionType()

Parameters:

compressionType - If your transform data is compressed, specify the compression type. Amazon SageMaker automatically decompresses the data for the transform job accordingly. The default value is None .

Returns:

this

contentType

@Stability(Stable)
public CfnModelPackage.TransformInputProperty.Builder contentType(String contentType)

Sets the value of CfnModelPackage.TransformInputProperty.getContentType()

Parameters:

contentType - The multipurpose internet mail extension (MIME) type of the data. Amazon SageMaker uses the MIME type with each http call to transfer data to the transform job.

Returns:

this

splitType

@Stability(Stable)
public CfnModelPackage.TransformInputProperty.Builder splitType(String splitType)

Sets the value of CfnModelPackage.TransformInputProperty.getSplitType()

Parameters:

splitType - The method to use to split the transform job's data files into smaller batches. Splitting is necessary when the total size of each object is too large to fit in a single request. You can also use data splitting to improve performance by processing multiple concurrent mini-batches. The default value for SplitType is None , which indicates that input data files are not split, and request payloads contain the entire contents of an input object. Set the value of this parameter to Line to split records on a newline character boundary. SplitType also supports a number of record-oriented binary data formats. Currently, the supported record formats are:

• RecordIO
• TFRecord

When splitting is enabled, the size of a mini-batch depends on the values of the BatchStrategy and MaxPayloadInMB parameters. When the value of BatchStrategy is MultiRecord , Amazon SageMaker sends the maximum number of records in each request, up to the MaxPayloadInMB limit. If the value of BatchStrategy is SingleRecord , Amazon SageMaker sends individual records in each request.

Some data formats represent a record as a binary payload wrapped with extra padding bytes. When splitting is applied to a binary data format, padding is removed if the value of BatchStrategy is set to SingleRecord . Padding is not removed if the value of BatchStrategy is set to MultiRecord .

For more information about RecordIO , see Create a Dataset Using RecordIO in the MXNet documentation. For more information about TFRecord , see Consuming TFRecord data in the TensorFlow documentation.

Returns:

this

build

@Stability(Stable)
public CfnModelPackage.TransformInputProperty build()

Builds the configured instance.

Specified by:

build in interface software.amazon.jsii.Builder<CfnModelPackage.TransformInputProperty>

Returns:

a new instance of CfnModelPackage.TransformInputProperty

Throws:

NullPointerException - if any required attribute was not provided